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Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica

Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages o...

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Autores principales: Pan, Jiao, Li, Weiyi, Ni, Jiahao, Wu, Kun, Konigsberg, Iain, Rivera, Caitlyn E., Tincher, Clayton, Gregory, Colin, Zhou, Xia, Doak, Thomas G., Lee, Heewook, Wang, Yan, Gao, Xiang, Lynch, Michael, Long, Hongan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040049/
https://www.ncbi.nlm.nih.gov/pubmed/35446958
http://dx.doi.org/10.1093/molbev/msac081
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author Pan, Jiao
Li, Weiyi
Ni, Jiahao
Wu, Kun
Konigsberg, Iain
Rivera, Caitlyn E.
Tincher, Clayton
Gregory, Colin
Zhou, Xia
Doak, Thomas G.
Lee, Heewook
Wang, Yan
Gao, Xiang
Lynch, Michael
Long, Hongan
author_facet Pan, Jiao
Li, Weiyi
Ni, Jiahao
Wu, Kun
Konigsberg, Iain
Rivera, Caitlyn E.
Tincher, Clayton
Gregory, Colin
Zhou, Xia
Doak, Thomas G.
Lee, Heewook
Wang, Yan
Gao, Xiang
Lynch, Michael
Long, Hongan
author_sort Pan, Jiao
collection PubMed
description Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution.
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spelling pubmed-90400492022-04-27 Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica Pan, Jiao Li, Weiyi Ni, Jiahao Wu, Kun Konigsberg, Iain Rivera, Caitlyn E. Tincher, Clayton Gregory, Colin Zhou, Xia Doak, Thomas G. Lee, Heewook Wang, Yan Gao, Xiang Lynch, Michael Long, Hongan Mol Biol Evol Discoveries Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution. Oxford University Press 2022-04-21 /pmc/articles/PMC9040049/ /pubmed/35446958 http://dx.doi.org/10.1093/molbev/msac081 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Pan, Jiao
Li, Weiyi
Ni, Jiahao
Wu, Kun
Konigsberg, Iain
Rivera, Caitlyn E.
Tincher, Clayton
Gregory, Colin
Zhou, Xia
Doak, Thomas G.
Lee, Heewook
Wang, Yan
Gao, Xiang
Lynch, Michael
Long, Hongan
Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title_full Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title_fullStr Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title_full_unstemmed Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title_short Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
title_sort rates of mutations and transcript errors in the foodborne pathogen salmonella enterica subsp. enterica
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040049/
https://www.ncbi.nlm.nih.gov/pubmed/35446958
http://dx.doi.org/10.1093/molbev/msac081
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